Min–max and min–max regret versions of combinatorial optimization problems: A survey

Min–max and min–max regret criteria are commonly used to define robust solutions. After motivating the use of these criteria, we present general results. Then, we survey complexity results for the min–max and min–max regret versions of some combinatorial optimization problems: shortest path, spannin...

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Bibliographic Details
Published in:European journal of operational research Vol. 197; no. 2; pp. 427 - 438
Main Authors: Aissi, Hassene, Bazgan, Cristina, Vanderpooten, Daniel
Format: Journal Article
Language:English
Published: Amsterdam Elsevier B.V 01.09.2009
Elsevier
Elsevier Sequoia S.A
Series:European Journal of Operational Research
Subjects:
ISSN:0377-2217, 1872-6860
Online Access:Get full text
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Summary:Min–max and min–max regret criteria are commonly used to define robust solutions. After motivating the use of these criteria, we present general results. Then, we survey complexity results for the min–max and min–max regret versions of some combinatorial optimization problems: shortest path, spanning tree, assignment, min cut, min s– t cut, knapsack. Since most of these problems are NP-hard, we also investigate the approximability of these problems. Furthermore, we present algorithms to solve these problems to optimality.
Bibliography:SourceType-Scholarly Journals-1
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content type line 14
ISSN:0377-2217
1872-6860
DOI:10.1016/j.ejor.2008.09.012